Update run.sh

run.sh

@@ -1,8 +1,8 @@
 #!/bin/bash
 
-corpus="/datastore/marzieh/to_publish_TSE/sample.txt"
-TM_output_path="/datastore/marzieh/to_publish_TSE/TM"
-EM_output_path="/datastore/marzieh/to_publish_TSE/"
+corpus="./sample.txt"
+TM_output_path="./TM"
+EM_output_path="./Embeddings"
 
 # learn topics from the corpus
 ./topicmodelling/run_topicmodel.sh $corpus $TM_output_path
@@ -21,9 +21,9 @@ python ./topicsensitive_word2vec/scripts/extract_neighbours_htle.py $EM_output_p
 ./topicsensitive_word2vec/word2vecf_HTLEadd -train $EM_output_path/pairs.txt -wvocab $EM_output_path/wv -cvocab $EM_output_path/cv -output $EM_output_path/vectors.txt -size 100 -negative 6 -threads 1 -dumpcv $EM_output_path/vectors.syn1neg.txt -dumpcv2 $EM_output_path/vectors.gen.txt  -iter 15
 
 # train embeddings: STLE
-#python ./topicsensitive_word2vec/scripts/extract_neighbours_stle.py $EM_output_path/freq.txt $EM_output_path/labeled_sample.txt $TM_output_path/topicsindocs.txt > $EM_output_path/pairs.txt
-#./topicsensitive_word2vec/count_and_filter -train $EM_output_path/pairs.txt -cvocab $EM_output_path/cv -wvocab $EM_output_path/wv -min-count 100
-#./topicsensitive_word2vec/word2vecf_STLE -train $EM_output_path/pairs.txt -wvocab $EM_output_path/wv -cvocab $EM_output_path/cv -output $EM_output_path/vectors.txt -size 100 -negative 6 -threads 1 -dumpcv $EM_output_path/vectors.syn1neg.txt -iter 15
+python ./topicsensitive_word2vec/scripts/extract_neighbours_stle.py $EM_output_path/freq.txt $EM_output_path/labeled_sample.txt $TM_output_path/topicsindocs.txt > $EM_output_path/pairs.txt
+./topicsensitive_word2vec/count_and_filter -train $EM_output_path/pairs.txt -cvocab $EM_output_path/cv -wvocab $EM_output_path/wv -min-count 100
+./topicsensitive_word2vec/word2vecf_STLE -train $EM_output_path/pairs.txt -wvocab $EM_output_path/wv -cvocab $EM_output_path/cv -output $EM_output_path/vectors.txt -size 100 -negative 6 -threads 1 -dumpcv $EM_output_path/vectors.syn1neg.txt -iter 15
 
 # inference